The fluctuation of the water table east of La Pampa province and northwest
of Buenos Aires province, Argentina, influences agricultural production in
the region because it is closely related to the alternation of dry and wet
periods. Sea-surface temperature (SST) anomalies have been used as predicto
rs to forecast atmospheric variables in different regions of the world. The
objective of this work is to present a simple model to forecast seasonal r
ainfall using SST distribution in the Pacific Ocean as a predictor. Once th
e relationship between precipitation and water-table fluctuations was estab
lished, a methodology for the prediction of watertable fluctuations was dev
eloped. A good agreement between observed and predicted water-table fluctua
tions was found when estimating water-table fluctuations in the summer and
autumn seasons.